GCP DATA Platform Engineer in Charlotte, NC (Onsite)-Contract

Lorven Technologies Inc
Charlotte, NC, United States
22 days ago
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Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Experience level
Expert
Experience required
5 years minimum
Working hours
Regular working hours

Tech stack

Apache HTTP Server Big Data System Configuration Data Infrastructure Data Security Role-Based Access Control Cloudera Software Deployment Google Cloud Data Lakes

Job description

We are building a hybrid data platform that bridges an On-premises big data cluster with Google Cloud Platform and we need an engineer who can own this integration end to end This role is central to establishing a repeatable production grade pattern for multitenant data platform architecture starting with GCP as the first cloud tenant on an existing on-prem Cloudera cluster You will configure the foundational infrastructure service accounts Iceberg table formats metadata catalog integration via Apache Gravitino and role-based access controls, * Configure and provision the On-premises Cloudera cluster environment including service account creation role definitions and permission structures for multitenant access

  • Design and implement Apache Iceberg table structures optimized for hybrid on Prem cloud workloads
  • Integrate the Iceberg REST Catalog IRC with Apache Gravitino to establish a unified metadata layer across on-prem and GCP environments
  • Establish GCP as a production tenant on the existing on prem Cloudera cluster validating the end-to-end architecture pattern
  • Define and enforce data access governance including role-based permissions and service account security policies across both environments
  • Drive the full lifecycle from environment setup through to production deployment
  • Publish comprehensive documentation and architectural blueprints covering cross platform interoperability best practices vendor recommendations and access patterns for hybrid data lake implementations

Requirements

  • 5 years of relevant experience in data platform engineering
  • Handson experience with Google Cloud Platform GCP
  • Experience with On-premises Cloudera big data clusters
  • Experience with Apache Iceberg table format
  • Experience with Iceberg REST Catalog IRC
  • Experience with Apache Gravitino for metadata catalog integration
  • Experience with service account creation and role-based access control in hybrid environments

Benefits & conditions

Google Cloud Platform ,Cloudera Apache Iceberg Iceberg REST Catalog Apache Gravitino Service Account Management RoleBased Access Control Hybrid Data Platform Architecture MultiTenant Data Platform Experience 5 Years From the Client * Setup DPC environment create a service account Iceberg tables IRC with Gravitino DPC roles and permissions existing DPC cluster with GCP as one of the tenants to establish this pattern and take it all the way to production

  • Setup GCP environment create a service account Iceberg tables IRC GCP IAM roles and permissions existing GCP project GDWdev4 project to establish this pattern and take it all the way to production
  • Get IRC from DPC and GCP to sync with each other it can be one or more IRC from DPC and GCP
  • DPC and GCP platform should have the ability
  • Establish the pattern on interoperability for data access between DPC and GCP for Iceberg tables
  • Put the governance and guardrails around this access patterns and persona mapping on GCP side
  • Publish document and blueprints on this cross platform interoperability best practices vendor recommendations and access patterns

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